Skip to main content
Close icon Menu icon
UTS UTS
Cart
Your cart
Your cart is empty

Browse courses to find something that interests you.

Log in
Search
Enter to search / ESC to close


Browse Study Areas >

Analytics & Data Science

  • Critical & Creative Thinking
  • Data Science
  • Entrepreneurship
  • Invention & Innovation
  • Leadership & Management
  • Problem Solving
  • Strategic Thinking

Architecture & Built Environment

Business & Transformation

  • Accounting & Finance
  • Business Technology
  • Critical & Creative Thinking
  • Data Science
  • Economics
  • Entrepreneurship
  • Leadership & Management
  • Marketing
  • Problem Solving
  • Strategic Thinking

Communication & Media

Design Innovation

Technology

  • Business Technology
  • AI & Machine Learning
  • Telecoms
  • Data Science
  • Key Technology Trends

Health

Law

  • Law and technology
  • Substantive law
  • Industry accreditation
  • Professional skills

Public Policy & Governance

  • Evidence Evaluation and Insights
  • Community engagement
  • Governance
  • Local government
  • Leadership
  • Policy and program delivery
  • Strategic planning

Systems & Operations

Engineering

Bridging Courses

Science & Mathematics

Education

Search
Log in
  • About
  • All courses

    All courses
    Browse all courses
    • Analytics & Data Science
    • Architecture & Built Environment
    • Business & Transformation
    • Communication & Media
    • Design Innovation
    • Technology
    • Health
    • Law
    • Public Policy & Governance
    • Systems & Operations
    • Engineering
    • Bridging Courses
    • Science & Mathematics
    • Education
  • For your organisation
  • Insights
  • australian retirement trust
  • Home
  • Study areas
  • Engineering
  • Advanced Data Analytics for Cybersecurity
MICROCREDENTIAL

Advanced Data Analytics for Cybersecurity

Enrol now
$1,595.00

START DATE

Enquire now

MODE

DURATION

10 wks

COMMITMENT

10 wks avg 5 hrs/wk

Join Waitlist








Have a question?
Make an enquiry

Designed as an introduction to machine learning in the field of cybersecurity, this course focuses on machine learning technologies and their potential vulnerabilities – along with cybersecurity tools and solutions.

About this microcredential

This microcredential combines big data capabilities with threat intelligence to help detect, analyse and alleviate insider threats and targeted attacks from external bad actors and persistent cyber threats. It covers key topics including statistical methods for identifying patterns in data and making inferences and other intelligent technologies that derive cybersecurity issues from data.

Participants will be introduced to machine learning technologies for cybersecurity and the most common approach to standard process for data analytics. This microcredential offers practice in advanced technologies of data analytics in cybersecurity, identifying security risks, threats and vulnerabilities to corporate computers and networks.      

Key benefits of this microcredential

  • An end-to-end introduction to cybersecurity in machine learning – build on your understanding of data analytics from a cyber perspective.
  • Develop your understanding of key technologies and concepts along with hands-on activities and case studies to explore real algorithms, attacks and threats.
  • Complete as a self-contained course, or as a potential pathway to future postgraduate study.

This microcredential aligns with the 2 credit point subject, Data Analytics in Cyber Security (411180) in the Graduate Certificate in Professional Practice (C11298), Graduate Diploma of Professional Practice (C06136), Master of Professional Practice (C04404), Graduate Certificate in Technology (C11301), Graduate Diploma in Technology (C06137) and Master of Technology (C04406).

This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is accessible to professionals from a wide range of sectors and backgrounds who have completed our Data Analytics for Cybersecurity Foundations microcredential, or who otherwise have foundational professional experience in the field.

UTS microcredentials are developed for professionals with the capacity to undertake postgraduate tertiary education.

Price

Full price: $1,595.00 (GST-free)*

*Price subject to change. Please check price at time of purchase. 

Enrolment conditions

  • Course purchase is subject to UTS Open Terms and Conditions. 

COVID-19 response 

  • UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.

Additional course information

Course outline

In this course, you will meet and work with a dedicated course facilitator who will support your learning and engagement with teaching resources designed by the lead academic and team of experts from the Faculty of Engineering and IT.

The course is structured into four modules. Each module comprises self-study materials and facilitated online sessions. The four modules and key topics covered are:

Module 1 - Supervised machine learning for cybersecurity I

  • This module introduces machine leaning, deep learning and an overview of supervised machine learning algorithms from a cybersecurity perspective.

Module 2 - Supervised machine learning for cybersecurity II

  • This module presents an in-depth case study of attacks on supervised machine learning technologies, in order to explore their potential vulnerabilities to cyber risks.

Module 3 - Unsupervised machine learning for cybersecurity I

  • This module provides an overview of unsupervised machine learning algorithms, including reinforcement learning and federated learning, from a cybersecurity perspective.

Module 4 - Unsupervised machine learning for cybersecurity II

  • This module presents an in-depth case study of attacks on unsupervised machine learning technologies, to explore their potential vulnerabilities to cyber risks.

This course is delivered in a scheduled format over ten weeks.

Each week (during weeks 1 to 8) you will participate in an online session where you will have the chance to apply what you've learned, ask questions and hear from other participants who are taking the course with you. The workshops are led by the course facilitator.

Weeks nine and ten are planned to give you time to complete the final assignment, with support and scheduled Q&A sessions provided.

Course delivery

This course includes weekly, live, one-hour online tutorials and one-hour weekly Q&A sessions facilitated by an expert UTS academic, supporting self-study and online learning activities.

Case studies of real-world applications illustrate applications of key tools and techniques. The workshop sessions focus on hands-on activities and examples. Regular formative quizzes throughout the course will allow participants to gauge their progress.

Course learning objectives

Upon successful completion of this course, you will be able to detect and analyse cyber-attacks using data analytics.

Assessment

The graded assessment task is an individually written assessment on spam data analysis. This assignment includes reflection on individual practical work on spam data analysis (pre-processing and transformation) for cybersecurity, with artefacts (screenshots/outputs) of the practical work to be submitted in the report.

Length: 2,500 words      

Requirements

Mandatory

  • Participants require basic mathematical proficiency (linear algebra and statistics) and some programming experience in Python.
  • To complete this online course, you will need a personal computer with reliable internet access, web conferencing capability and an operating system with a web browser compatible with the Canvas LMS. You will need to be able to run a currently-supported version of Python.

Related Courses

Dynamic Managerial Capability Dynamic Managerial Capability
Microcredential

Dynamic Managerial Capability

Develop dynamic management techniques that will transform the way you do business. [7 wks, avg 10 hrs/wk]

  • calendar_month Enquire now
  • hourglass_empty 7 wks
  • import_contacts 7 wks avg 10 hrs/wk
  • monetization_on 3,001
  • place On Campus (Sydney)
  • supervisor_account Scheduled sessions
Structured Thinking and Planning Structured Thinking and Planning
Microcredential

Structured Thinking and Planning

Learn the complex problem-solving approaches used by the world’s top management consultancies [7wks, avg 10 hrs/wk]

  • calendar_month Enquire now
  • hourglass_empty 7 wks
  • import_contacts Avg 10 hrs p/w
  • monetization_on 2,988
  • place Online
  • supervisor_account Scheduled sessions
Practising Inclusion: Working and Teaching for Social Justice Practising Inclusion: Working and Teaching for Social Justice
Microcredential

Practising Inclusion: Working and Teaching for Social Justice

Learn to build inclusive practices in higher education environments by deepening your understanding of diversity, equity, social justice and inclusion. [6 wks Avg, 12hrs/wk]

  • calendar_month Enquire now
  • hourglass_empty 6 wks
  • import_contacts 6 wks avg 12 hrs/wk
  • monetization_on 1,286
Infrastructure Law: Delivering projects and managing risks Infrastructure Law: Delivering projects and managing risks
Microcredential

Infrastructure Law: Delivering projects and managing risks

Explore the legal and commercial elements of major infrastructure projects and learn to allocate risk effectively. [6 wks, avg 10 hrs/wk]

  • calendar_month Enquire now
  • hourglass_empty 6 wks
  • import_contacts Avg 10 hrs/wk
  • monetization_on 2,500
  • place Online
  • supervisor_account Scheduled sessions
Ethical AI for Good Business Ethical AI for Good Business
Microcredential

Ethical AI for Good Business

Set the ethical technology agenda for your organisation grounded in AI literacy, knowledge and agency. [6 wks, avg 11 hrs/wk]

  • calendar_month Enquire now
  • hourglass_empty 6 wks
  • import_contacts 6 wks avg 11 hrs/wk
  • monetization_on 2,397
Expert Design Secrets To Radically Up Your DataVis Game Expert Design Secrets To Radically Up Your DataVis Game
Microcredential

Expert Design Secrets To Radically Up Your DataVis Game

Learn powerful design principles for making better, more persuasive charts and infographics. [6 wks, avg 10 hrs/wk]

  • calendar_month Enquire now
  • hourglass_empty 6 wks
  • import_contacts 6 wks avg 10 hrs/wk
  • monetization_on 2,195
We use cookies

We use cookies to help personalise content, tailor and measure ads, plus provide a safer experience. By navigating the site, you agree to the use of cookies to collect information. Read our Cookie Policy to learn more.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

  • About
    • About UTS Open
    • The University
    • FAQ
  • UTS Degrees
    • Postgraduate study
    • Find a course
  • News
    • Insights
    • Events
    • Find an expert
  • Information
    • Terms and Conditions
    • UTS governance
    • Privacy
    • Accessibility
    • Disclaimer
Connect
  • Contact us
  • Facebook Twitter Instagram Youtube LinkedIn

© Copyright UTS - CRICOS Provider No: 00099F - TEQSA Provider ID: PRV12060 - TEQSA Category: Australian University - ABN: 77 257 686 961 - 09 June 2022 03:33 PM. The page is authorised by the Chief Operating Officer and Vice-President (COO)

loading